adattárházakból

Adattárházakból, or "from data warehouses" in Hungarian, refers to the process of extracting, transforming, and loading data from one or more data warehouses into another system or data store. This is a common practice in data management and business intelligence. Data warehouses are designed for analytical querying and reporting, storing historical data from various operational systems. When data needs to be moved, consolidated, or prepared for specific analytical purposes that cannot be directly served by the existing warehouse, the "adattárházakból" process is initiated.

This process typically involves an Extract, Transform, Load (ETL) or Extract, Load, Transform (ELT) methodology. Extraction involves retrieving data from the source data warehouse. Transformation then cleans, validates, and reshapes the data according to the requirements of the target system. This could include data aggregation, summarization, or the application of business rules. Finally, the Load step involves inserting the transformed data into the destination. The destination could be another data warehouse, a data mart, a data lake, or a specific application.

The reasons for performing "adattárházakból" operations are varied. It might be to create specialized data marts for specific departments, migrate data to a new or upgraded data warehouse, feed data into a business intelligence tool for advanced analytics, or export data for external reporting or integration with other systems. Understanding the source data warehouse's schema, data quality, and the desired outcome for the target system are crucial for a successful data extraction and movement process.